Retroguard – Verifiably secure AI guardrails
Cryptographically secure and verifiably robust protection with drop-in integration and outcome-based pricing
Retroguard – Verifiably secure AI guardrails launched on May 5, 2026 with 6 votes, #1,742 of 20,538 launches that month and more than 75% of that year's launches.
What it does
Verifiably Secure AI Guardrails. Block data leaks, prompt injection, and off-policy outputs. Encrypted end-to-end, real-time attack alerts. Pay only when we block.
For every mission-critical AI use case that demands privacy, auditability, reliability, and compliance. PII, credit-card numbers, and API keys never reach the model or your customer. Override attacks and hidden instructions in documents or tool output are caught before the model sees them. Block toxic and off-brand answers. Add your own rules in plain English. No retraining. Keep your OpenAI or Anthropic SDK. Change one URL. Live in five minutes. Prompts, replies, and provider keys are decrypted only inside the hardware that processes them. Not even we can read them. Our safety code is open. The hardware proves which version ran each request, so your auditor confirms it directly. Every…from retroguard.ai
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We post-trained a model that pen tests instead of refusingJun 2026 · argusred.com · ▲93Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…
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